SCAFFOLDING COMPUTATIONAL THINKING THROUGH PROBLEM-BASED LEARNING AND PROJECT-BASED LEARNING: USING PROBLEM TO POWER LEARNING

Sing Ling Ong; Jill Pei-Wah Ling; Wui Lee Chang

doi:10.21125/edulearn.2023.0677

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SCAFFOLDING COMPUTATIONAL THINKING THROUGH PROBLEM-BASED LEARNING AND PROJECT-BASED LEARNING: USING PROBLEM TO POWER LEARNING

Sing Ling Ong Jill Pei-Wah Ling Wui Lee Chang

Year: 2023 Journal: EDULEARN proceedings Vol: 1 Pages: 2294-2302 Publisher: International Academy of Technology, Education and Development

DOI: 10.21125/edulearn.2023.0677

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Abstract

SCAFFOLDING COMPUTATIONAL THINKING THROUGH PROBLEM-BASED LEARNING AND PROJECT-BASED LEARNING: USING PROBLEM TO POWER LEARNING

Keywords:

Computer science Problem-based learning Active learning (machine learning) Artificial intelligence Proactive learning Computational thinking Scaffold Machine learning Robot learning Mathematics education Mathematics Programming language Robot

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Teaching and Learning Programming

Physical Sciences → Computer Science → Computer Science Applications

SCAFFOLDING COMPUTATIONAL THINKING THROUGH PROBLEM-BASED LEARNING AND PROJECT-BASED LEARNING: USING PROBLEM TO POWER LEARNING

Abstract

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